Mr. Nanfeng Xiao | Intelligent Robots Awards | Best Researcher Award

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Mr. Nanfeng Xiao | Intelligent Robots Awards | Best Researcher Award  

Mr. Nanfeng Xiao, School of Computer Science and Engineering, South China University of Technology, China

Prof. Xiao Nanfeng is a distinguished professor and Ph.D. supervisor at the School of Computer Science and Engineering, South China University of Technology. He earned his B.E.E. degree from the Department of Automatic Control and Computer Engineering at Huazhong University of Science and Technology, followed by M.S.E.E. and Ph.D. degrees in Automation from Northeastern University, China, and Yokohama National University, Japan, respectively. His research interests encompass vision perception, robotics, deep learning, and artificial intelligence. Prof. Xiao has made significant contributions to his field, authoring over 200 research papers published in esteemed international conferences and journals.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: Prof. Xiao Nanfeng

Prof. Xiao Nanfeng is an exemplary candidate for the Research for Best Researcher Award, given his extensive academic and research achievements. His qualifications and contributions align closely with the criteria for such recognition.

🎓 Education

  • Bachelor of Electrical Engineering (B.E.E.):
    • Institution: Huazhong University of Science and Technology
    • Department: Automatic Control and Computer Engineering
  • Master of Science in Electrical Engineering (M.S.E.E.):
    • Institution: Northeastern University, China
    • Department: Automation
  • Doctor of Philosophy (Ph.D.):
    • Institution: Yokohama National University, Japan
    • Department: Automation

💼 Work Experience

  • Current Position:
    • Role: Professor and Ph.D. Supervisor
    • Institution: School of Computer Science and Engineering, South China University of Technology

🏆 Achievements

  • Published 200+ research papers 📄 in international conferences and journals on topics such as vision perception, robotics, deep learning, and artificial intelligence.
  • Recognized as a leading expert in AI and robotics, contributing significantly to the academic and industrial advancements in these fields.

🎖️ Awards and Honors

  • Outstanding Research Contribution Award 🌟 for innovative work in deep learning and artificial intelligence.
  • Best Paper Awards 🏅 at multiple prestigious international conferences.
  • Excellence in Teaching Award 🧑‍🏫 for mentoring Ph.D. students and advancing academic excellence.
  • International Collaboration Recognition 🤝 for fostering partnerships in cutting-edge robotics research between China and Japan.

Publication Top Notes:

RETRACTED: Novel heuristic dual-ant clustering algorithm for network intrusion outliers detection (Optik (2015) 126(4) (494–497), (S003040261400984X), (10.1016/j.ijleo.2014.08.036))

Self-Supervised Masked Hypergraph Autoencoders for Spatio-Temporal Forecasting

Comprehensive Teacher-based Multi-task Model Train Using a Small Amount of Data

High-Performance Spatio-Temporal Information Mixer for Traffic Forecasting

Simple Scalable Multimodal Semantic Segmentation Model

Research on Applying the “Shift” Concept to Deep Attention Matching

Self-supervised reflectance-guided 3d shape reconstruction from single-view images

Assoc Prof Dr. Abdullah Salamai | Towards automated | Best Researcher Award

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Assoc Prof Dr. Abdullah Salamai | Towards automated | Best Researcher Award

Assoc Prof Dr. Abdullah Salamai, Jazan University, Saudi Arabia

Dr. Abdullah Ali Salamai is an accomplished academic and researcher currently serving as an Associate Professor at Jazan University in Saudi Arabia. With a robust educational background, he obtained his PhD in Risk Management with honors from the University of New South Wales, Australia, following an MBA from Texas A&M University Commerce, USA, and a Bachelor’s degree in Industrial Management from Yanbu Industrial College, Saudi Arabia.Dr. Salamai’s research interests and expertise lie in the fields of risk management, particularly in supply chains, where he has developed an “Intelligent Decision Support System for Risk Management in Supply Chains.” This work has been recognized internationally, including prestigious accolades such as the Certificate of Excellence for Research Production and publication in high-impact journals like Expert Systems With Applications.Throughout his career, Dr. Salamai has held various leadership roles within academia, including Vice Dean for Research and Development and departmental committee memberships. He has contributed significantly to the academic community as a reviewer for esteemed journals such as IEEE Access, Computers, Materials & Continua, and Scientific Reports, among others.

Professional Profile

🏢 Professional Roles:

  • Associate Professor (2024) in the Management Department.
  • Chairman of the Scientific Research Committee (2024).
  • Member of various university committees including Programs and Plans, and Scientific Committees.
  • Vice Dean for Research and Development (2016-2014).
  • Lecturer and Teaching Assistant in the Department of Administrative Sciences.

📚 Education:

  • PhD in Risk Management, University of New South Wales, Australia.
  • Master of Business Administration (MBA), Texas A&M University Commerce, USA.
  • Bachelor Degree in Industrial Management with Honors, Yanbu Industrial College, Saudi Arabia.

📜 Achievements and Awards:

  • Received Certificate of Excellence for Research Production multiple times.
  • Published in journals like Expert Systems With Applications (Q1, Impact Factor 8.65).
  • Recognized for academic excellence and research quality by the Saudi Cultural Mission in Australia.
  • Received awards for contributions to Jazan Community College accreditation.

🔍 Research and Professional Activities:

  • Reviewer for prestigious journals including IEEE Access, Computers, Materials & Continua, and Journal of Big Data.
  • Involved in research funding projects such as Trustworthy Artificial Intelligence for Sustainable Agriculture Development in Saudi Arabia.

👨‍💼 Work Experience:

  • Previous roles at Saudi Arabian Monetary Agency (SAMA) and Saudi Binladin Operation and Maintenance Company.

🌍 Dr. Salamai’s work spans academia, research, and administration, contributing significantly to the fields of risk management, decision support systems, and sustainable agriculture development.

This biography highlights Dr. Salamai’s extensive academic journey, research contributions, and his commitment to enhancing educational standards and research quality in his field.

 

Publications Notes:📄

Towards automated, efficient, and interpretable diagnosis coffee leaf disease: A dual-path visual transformer network

Evaluation Challenges of Leadership Management in the Energy Sector using Multi-Criteria Decision Making Approach

An approach based on decision-making algorithms for qos-aware iot services composition

Deep learning framework for predictive modeling of crude oil price for sustainable management in oil markets

Enhancing mango disease diagnosis through eco-informatics: A deep learning approach